PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation

12 Apr 2019Rohan SaxenaRené SchusterOliver WasenmüllerDidier Stricker

In the last few years, convolutional neural networks (CNNs) have demonstrated increasing success at learning many computer vision tasks including dense estimation problems such as optical flow and stereo matching. However, the joint prediction of these tasks, called scene flow, has traditionally been tackled using slow classical methods based on primitive assumptions which fail to generalize... (read more)

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